Federated Learning Based Resource Allocation for Wireless Communication Networks

Pourya Behmandpoor; Panagiotis Patrinos; Marc Moonen

doi:10.23919/eusipco55093.2022.9909708

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Federated Learning Based Resource Allocation for Wireless Communication Networks

Pourya Behmandpoor Panagiotis Patrinos Marc Moonen

Year: 2022 Journal: 2022 30th European Signal Processing Conference (EUSIPCO) Pages: 1656-1660

DOI: 10.23919/eusipco55093.2022.9909708

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Abstract

status: Published

Keywords:

Computer science Resource allocation Wireless Distributed learning Distributed computing Function (biology) Computer network Wireless network Artificial neural network Aggregate (composite) Federated learning Resource (disambiguation) Deep neural networks Artificial intelligence Telecommunications

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Topics

Privacy-Preserving Technologies in Data

Physical Sciences → Computer Science → Artificial Intelligence

Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Wireless Communication Security Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Federated Learning Based Resource Allocation for Wireless Communication Networks

Abstract

Metrics

Citation History

Topics

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